What is meant by "multiple nan-s"? DG
mark wrote: > There may be multiple nan-s, but what Chris did is simply create one > with the same nan's > > >>>> a = N.array((1,2,3,N.nan)) >>>> b = N.array((1,2,3,N.nan)) >>>> > > I think these should be the same. > Can anybody give me a good reason why they shouldn't, because it could > confuse a lot of people? > > Thanks, Mark > > ps. I have to admit though, that matlab does the same thing. nan==nan > is false. > > On Aug 24, 4:51 am, Warren Focke <[EMAIL PROTECTED]> wrote: > >> On Thu, 23 Aug 2007, Christopher Barker wrote: >> >>> but that feels like a kludge. maybe some sort of "TheseArrays are binary >>> equal" would be useful. >>> >> But there are multiple possible NaNs, so you couldn't rely on the bits >> comparing. >> >> Maybe something with masked arrays? >> >> w >> >> _______________________________________________ >> Numpy-discussion mailing list >> [EMAIL PROTECTED]://projects.scipy.org/mailman/listinfo/numpy-discussion >> > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > -- ERD/ORR/NOS/NOAA <http://response.restoration.noaa.gov/emergencyresponse/> _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
